Case Study

Global E-commerce Giant
Cloud Infrastructure Optimization

Helping a Fortune 500 e-commerce leader modernize their cloud infrastructure, resulting in significant cost savings and improved performance across their global platform.

32% Cost Reduction
99.99% Uptime
3x Faster Deployments
2840m
1650m

The Challenge

Initial State

Legacy infrastructure spanning multiple regions with inconsistent configurations and manual scaling processes.

Growing Pains

50% YoY growth led to frequent outages during peak shopping periods and escalating cloud costs.

Technical Debt

Manual deployments taking 6+ hours and lack of monitoring causing delayed incident responses.

How We Transformed Their Cloud

AWS Cloud ELB ECS Auto-scaling Group App Task App Task App Task Aurora DB Cluster Writer Reader Reader User
Elastic Load Balancer (ELB)
ECS Auto Scaling Group
Application Task (ECS)
Aurora Database Cluster
Database Instance

Infrastructure as Code

Automated infrastructure deployment using Terraform and AWS CloudFormation.

Auto-scaling Architecture

Implemented dynamic scaling based on real-time metrics and traffic patterns using ECS.

Cost Optimization

Introduced reserved instances and spot instances for non-critical workloads.

Observability & Monitoring

Integrated DataDog, CloudWatch, and PagerDuty for proactive incident response.

Technical Implementation

  • Cloud Provider: AWS
  • Compute: Elastic Container Service (ECS) with Fargate
  • Database: Aurora PostgreSQL (Serverless v2)
  • Caching: ElastiCache for Redis
  • IaC: Terraform, CloudFormation
  • Monitoring: DataDog, CloudWatch, PagerDuty
  • CI/CD: GitHub Actions, AWS CodePipeline

Key Results

32% Monthly Cost Reduction
99.99% System Uptime
3x Faster Deployments
60% Reduced Latency
0 Critical Incidents During Peak
100% IaC Coverage

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